#3892Previous research has demonstrated the utility ofclustering in inducing semantic verb classes from undisambiguated corpus data.
other,15-4-P03-1009,ak
effect of
<term>
polysemy
</term>
on the
<term>
clusters
</term>
, offering us a good insight into
#3955A novel evaluation scheme is proposed which accounts for the effect of polysemy on theclusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
other,10-1-P03-1009,ak
<term>
clustering
</term>
in inducing
<term>
semantic verb classes
</term>
from undisambiguated
<term>
corpus
#3895Previous research has demonstrated the utility of clustering in inducingsemantic verb classes from undisambiguated corpus data.
tech,2-4-P03-1009,ak
<term>
polysemic verbs
</term>
. A novel
<term>
evaluation scheme
</term>
is proposed which accounts for the
#3942A novelevaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
tech,16-2-P03-1009,ak
SCF ) distributions
</term>
using the
<term>
Information Bottleneck and nearest neighbour methods
</term>
. In contrast to previous work ,
#3919We describe a new approach which involves clustering subcategorization frame (SCF) distributions using theInformation Bottleneck and nearest neighbour methods.
other,11-3-P03-1009,ak
we particularly focus on clustering
<term>
polysemic verbs
</term>
. A novel
<term>
evaluation scheme
</term>
#3937In contrast to previous work, we particularly focus on clusteringpolysemic verbs.
other,12-4-P03-1009,ak
proposed which accounts for the effect of
<term>
polysemy
</term>
on the
<term>
clusters
</term>
, offering
#3952A novel evaluation scheme is proposed which accounts for the effect ofpolysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
other,8-2-P03-1009,ak
approach which involves clustering
<term>
subcategorization frame ( SCF ) distributions
</term>
using the
<term>
Information Bottleneck
#3911We describe a new approach which involves clusteringsubcategorization frame ( SCF ) distributions using the Information Bottleneck and nearest neighbour methods.
other,15-1-P03-1009,ak
classes
</term>
from undisambiguated
<term>
corpus data
</term>
. We describe a new approach which
#3900Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguatedcorpus data.
other,31-4-P03-1009,ak
semantically classifying undisambiguated
<term>
SCF data
</term>
. We apply a
<term>
decision tree based
#3971A novel evaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguatedSCF data.